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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
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    Lynda - Python Parallel Programming Solutions

    Posted By: U.N.Owen
    Lynda - Python Parallel Programming Solutions

    Lynda - Python Parallel Programming Solutions
    Size: 602 MB | Duration: 4h 0m | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 48KHz 2ch
    Genre: eLearning | Level: Intermediate | Language: English

    Learn parallel programming techniques using Python and explore the many ways you can write code that allows more than one task to occur at a time. First, discover how to develop and implement efficient software architecture that is set up to take advantage of thread-based and process-based parallelism. Next, find out how to use Python modules for asynchronous programming. Then, explore GPU programming using PyCUDA, NumbaPro, and PyOpenCL. This course provides extensive coverage of synchronizing processes, streamlining communication, reducing operations, and optimizing code so you can select and implement the right parallel processing solutions for your applications.

    * Memory organization
    * Parallel programming models
    * Designing a parallel program and evaluating performance
    * Working with threads in Python
    * Synchronizing threads and using multithreading
    * Spawning a process
    * Running a process in the background
    * Synchronizing processes
    * Using the mpi4py Python module
    * Using collective communication
    * Reducing operations
    * Managing events, tasks, and routines with Asyncio
    * Distributing tasks


    Lynda - Python Parallel Programming Solutions

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